Topic 1 – Control system tuning in Simulink
In this session you will learn about new tools for systematic tuning of control systems modeled in Simulink. These tools put no restriction on the control structure, number of feedback loops, or type of controllers. You can use a variety a time and frequency-domain criteria to express your performance and robustness goals. Applications to MIMO control of a Diesel engine and gain scheduling of an autopilot are showcased.

Topic 2 – Interactive control design on Arduino with MATLAB and Simulink
Arduino opens up a new world of interactive possibilities for research and teaching.
Control engineers and scientists are now able to quickly prototype new algorithms on low cost hardware, thereby closing the gap between a research idea and its practical implementation.
In the classroom, low-cost hardware has made it easy to apply project-based learning techniques, allowing students to learn control engineering by experiencing a model-based design approach that has become essential in industry.
In this session you will learn how Arduino can be used with MATLAB and Simulink. You will experience how MATLAB can be used to control the Arduino board and how a Simulink model can be automatically deployed on the board for embedded execution. Main topics include:

How to communicate with Arduino board from MATLAB over a USB cable

How to deploy a Simulink model for real-time execution on the Arduino board

How to write custom device drivers for more complex applications

Immediately understand how to move beyond using MATLAB as a calculator, and use it as a critical engineering tool!

About the speakers:

Pascal Gahinet graduated in 1984 from Ecole Polytechnique in Paris and got his Ph.D. in Electrical Engineering from the University of California, Santa Barbara in 1989. From 1990 to 1996 he was a research fellow at INRIA, France. He has been with MathWorks since 1996 where he has helped shape the Control & Identification product family. His interests include numerical computation, numerical optimization, classical and robust control, and computer-aided control system design.

Giampiero Campa received both his Laurea degree in Electrical Engineering (1996) and his Ph.D. degree in Robotics and Automation (2000), from the University of Pisa, Italy. He has also worked at the Industrial Control Centre, Strathclyde University, UK, (1995) and at the Department of Aerospace Engineering, Georgia Institute of Technology, Atlanta, USA (1999). From 2000 to 2008 was faculty in the Flight Control Group at the Department of Aerospace Engineering , West Virginia University, where he started a research program involving a variety of topics like system identification, adaptive and nonlinear control, machine vision, and sensor fusion, especially applied to UAVs. Since January 2009 he works at MathWorks, where he is currently responsible for helping integrate MATLAB in the curriculum within west coast US universities, as well as for developing teaching tools for robotics and mechatronics.

Davide Ferraro is a member of the Application Engineering group at MathWorks. He primarily collaborates with academic institutions to provide effective solutions for teaching and research. He has been with MathWorks for 5 years in a variety of roles including Customer Training and Technical Support. Davide holds an M.S. in Space Engineering (2004) from Politecnico di Milano, Milano, Italy, with a thesis on robust control differential algebraic techniques.

Abstract:
The IEEE Transactions on Control of Network Systems (TCNS) publishes high-quality papers on systems with interconnected components. The journal is primarily interested in problems related to the control of network systems but is also open to contributions concerning their design, study, engineering, optimization, and emerging behavior as these can inform and guide design and control. The Transactions invites rigorous methodological/theory papers on network systems and application papers that have a significant degree of modeling or methodological novelty in some application area of network systems. Application areas are many, spanning engineered systems, social science, economics, and biological systems.

During this information session, we will present the Editorial Board and list areas of network systems in which TCNS is interested in attracting publications. A panel of members of the Editorial Board will discuss emerging themes and topics in the network systems literature and highlight important open problems. Remarks by the panel will be followed by an open discussion with the audience.

Abstract:
Following the effort of the Long Range Planning Committee last year on improving the general quality of conference presentations, we will present a session in which panelists give some samples that exemplify some typical failures of conference presentations to give some hints on how to give good presentations.

Everyone wishes to make his/her presentation a good one, to be understood by the audience, and make an impact, and often spends much effort toward this end. Nonetheless, it is observed that many speakers often fail to make their presentation effective, and can lose their audience even in the first five minutes. To avoid such a phenomenon, it is necessary that speakers be aware of certain pitfalls that they are likely to fall into, and know how to avoid them.

The present panel session intends to give some typical examples, and give some recipes for how to avoid such failures.

Abstract:
Energy efficiency is the principal motivation for many advanced control and optimization solutions. Related projects have demonstrated significant reduction in energy consumption and expenditures in several domains, including the process industries and buildings, where energy management can be linked to a broader context provided by the smart grid.

This Honeywell-sponsored session will present industrial customer needs and recent approaches and results from projects in the areas of industrial energy efficiency and energy management in buildings.

The first part of this session will focus on process industry applications. A specific project we will present is the optimization of an industrial steam plant consisting of several combined cycle units, classical boilers, and steam turbines (the steam plant is part of the Repsol refinery in La Coruna, Spain). The solution covers production optimization under variable pricing and changing incentive programs. Inferential sensing, used to estimate variables that are not directly measurable but have significant impact on process performance and economics, plays an important role in this application.

Next, we will discuss energy management solutions enabling buildings and campuses to actively participate in the electricity market. With broader use of onsite renewable generation and smart grid technologies, a growing number of buildings can operate as relatively autonomous units with capabilities to sell or buy electricity from the power network and flexibly shift or reduce electrical loads when needed. Control and optimization technologies are critical for ensuring that the main energy consuming systems – such as heating, ventilation, and air conditioning (HVAC) – run at minimum energy costs and that the whole facility takes advantage of opportunities provided by demand response and other incentives.

The session will conclude with an open discussion with the audience, covering topics such as the challenges involved in, and mitigation approaches for, successful technology transfer of advanced control and optimization solutions.

Use and misuse of impact factor and other bibliometric indicators: what the IEEE is doing to address this issue?Friday, 12:15 pm - 1:15 pm, Auditorium

Abstract:
The session aims to provide an overview of the main features of several bibliometric indicators which have been proposed in the last few decades to evaluate the impact of journal publications. Their pros and cons are highlighted and compared with the features of the well-known Impact Factor (IF) to show how alternative metrics are specifically designed to address the flaws that the IF has. We also report the results of recent studies in the bibliometric literature showing how the scientific impact of journals as evaluated by bibliometrics is a very complicated matter and it is completely unrealistic to try to capture it by any single indicator, such as the IF or any other. As such, we conclude that the adoption of more metrics, with complementary features, to assess journal quality is a necessary step to offer a comprehensive and balanced view of each journal in the space of scholarly publications. This has also the advantage to eliminate the pressure on individuals and their incentive to do metric manipulation which is an unintended result of the current misuse of the IF as the “gold standard” for publication quality.

We also discuss the increasing misuse of journal bibliometric indicators in performing assessments of individual scientists and their individual papers for hiring, tenure, promotions and show, using a thorough data analysis, what can and cannot be quantified with such indicators. Finally we describe how the IEEE is approaching this important issues by taking a stronger position for the benefit of its members.

The Control Systems Society and its fellow members have already played an important role in drawing attention to some of inappropriate use of the Impact Factor and are therefore the appropriate audience for this presentation in order to collect feedback which would help the IEEE in making further progress in the direction of the appropriate use of Bibliometrics.

Abstract:
The theme of this invited panel is to discuss concepts paradigms and needs towards developing a systematic and rigorous methodology, models and analysis for CPS architectures. In a generic sense one understands by Architecture a description of the various structure and behavior components of a system together with their configuration and interfaces and interconnections. The concept of Architecture for CPS is a challenging concept as it needs to account for both the physical and cyber constraints. For instance physical and material laws as well as geometric laws and reasoning will guide the physical part. The same is true for various concepts of time, their constraints and their integration. Extensions of current distributed architectures for computers at all scales, and including both digital and analog components need to be considered. Even more importantly the interplay between the principles and rules of architectures from the physical and cyber sides need to be considered and brought to harmony within an appropriate systematic framework. An overarching goal of this panel meeting is to initiate this discussion with the CPS technical community with the goal to start developing principles, languages and a taxonomy of such architectures for CPS.
The following are some of the key questions that will be addressed:

Examples of physical system architectures strongly influenced by the physical laws of the
components, including material and geometry laws and principles.

Examples of system cyber architectures where the physical layer and heterogeneous engineering components played a critical role.

Do we need specific architecture description languages for CPS?

What is the current state of the art in industry sectors like automotive, aerospace, power grids, where CPS thinking has already started?

Visions about some generic architectures set-up like the various planes in complex communication and computer networks. Is such a generic framework appropriate or even feasible for CPS? Is it possible to develop a taxonomy of CPS architectures? Examples?

There are pervasive cross-cutting concerns across classes of CPS, like security-resilience and
robustness. How should these requirements be reflected in CPS architectures?

Is there a need for standards development as we work towards a taxonomy of CPS architectures? How important are such developments for interoperability and design of CPS?

What should the role and principles of CPS architectures with respect to validation and verification at the system level?

What is the role and principles for CPS architectures form the perspective of composability and compositionality?

CPS exist at various scales from macro to nano and even at multiple scales within the same system. What are the challenges for CPS architectures emanating from this multi-scale reality?